Position Overview

We are seeking a Senior AI Platform Engineer to design and build the middleware, agent integration layers, and secure delivery mechanisms for our proprietary risk models.

Key Responsibilities
Agent-to-Model Interface Engineering: Design and implement standardised, low-latency interfaces (gRPC, WebSockets, Model Context Protocol) that allow agentic frameworks to query states, trigger simulations, and ingest analytical model outputs.
Enterprise Delivery Architecture: Build secure, isolated delivery pipelines for enterprise clients, including private API endpoints, VPC peering/AWS PrivateLink deployments, and client-isolated runtimes.
Deterministic Execution &
State Management:

Implement robust orchestration and state management to ensure reproducible,



auditable model execution across asynchronous agent tool calls.
Security &
Multi-Tenancy:

Implement granular Role-Based Access Control (RBAC), mutual TLS (mTLS), token-based authentication (OAuth2/OIDC), and tenant data isolation at rest and in transit.
SDK &
Developer Experience:

Develop client-facing Python/TypeScript SDKs, programmatic schema definitions, and automated integration testing suites for external enterprise engineering teams.
Telemetry &
Auditability:

Construct observability pipelines for request tracing, latency tracking, rate limiting, and immutable audit logs required for enterprise compliance.

📌 Ai Platform Engineer Mumbai
🏢 Amunra
📍 Mumbai